Matterport is hiring a
Senior Machine Learning Operations Engineer, Remote - United States
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Senior Machine Learning Operations Engineer closed
🏢 Matterport
💵 $105k-$240k
📍United States
Summary
Matterport is seeking a Senior or Staff Machine Learning Operations Engineer for a remote position. The candidate will manage and deploy machine learning models, collaborate with teams to develop efficient ML pipelines, and integrate ML models into applications. A Bachelor's degree in Computer Science or related field and 5-8+ years of experience are required.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field, or equivalent experience
- 5-8+ years of experience in software engineering, MLOps, or related fields
- Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning
- Strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, e.g. Experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, MLFlow
- Strong experience with AWS cloud services
- Strong knowledge of data management processes for large-scale machine learning datasets
- Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation
- Strong knowledge of software engineering best practices, including version control, testing, and deployment
Responsibilities
- Collaborate with machine learning engineers and data scientists to develop and implement efficient and scalable machine learning pipelines and workflows for training, validation, and deployment of models
- Design and implement monitoring and testing frameworks to ensure the accuracy, reliability, and performance of machine learning models in production environments
- Develop and maintain efficient and scalable data management processes for large-scale machine learning datasets
- Work with software engineers to integrate machine learning models into our applications and services
- Collaborate with the Infrastructure team to ensure the reliability, scalability, and security of our production systems
- Stay up-to-date with the latest trends and best practices in MLOps, machine learning, and data management
Preferred Qualifications
Master's degree or PhD in Computer Science, or related field
Benefits
- Comprehensive health plans - 100% of premiums covered for employees & 88% of dependent premiums for US employees
- Flexible Time Off for Exempt Employees/Generous PTO plan for Non-Exempt Employees – Take time to rest, relax and explore! Plus we offer Summer Fridays!
- 401k, Company ownership in the form of RSU’s & ESPP Program
This job is filled or no longer available
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